Tailoring LLMs for chatbots and conversational agents
Tailoring LLMs for chatbots and conversational agents is a process that involves customizing these models so that they better understand, respond to, and engage with users in conversational contexts. Let’s take a closer look at how LLMs can be tailored for such applications.
Understanding the domain and intent
Understanding the domain and intent is a crucial aspect of tailoring LLMs for applications such as chatbots and conversational agents. Let’s take a closer look.
Domain-specific knowledge
Domain-specific knowledge in LLMs necessitates a focused approach to learning, ensuring depth in the specific field and the ability to keep updated with new developments. This approach includes the following aspects:
- Tailoring to the domain: LLMs typically have a broad understanding of language from being trained on diverse datasets. However, chatbots often need to operate within a specific domain, such as...